Markus Püschel
12 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🏃
Academic Marathon
(12)
🐝
Cross-Pollinator
(15)
🌈
Renaissance Researcher
(5)
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(12)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
NIPS (5)
AAAI (1)
CLEAR (1)
ICLR (1)
ICML (1)
IJCAI (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
multi-objective optimization
(2)
adversarial robustness
(2)
active learning
(2)
formal verification
(2)
gaussian process
(2)
set function
(2)
pareto optimal
(2)
sequential optimization
(1)
mirror descent
(1)
sequential sampling
(1)
structural equation model
(1)
convolutional neural network
(1)
image corruption
(1)
neural network verification
(1)
neural network robustness
(1)
graph convolution
(1)
directed acyclic graph
(1)
relu network
(1)
walsh-hadamard transform
(1)
combinatorial auction
(1)
Papers
SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input
UAI 2025
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
CLEAR 2025
Learning Bregman Divergences with Application to Robustness
NIPS 2024
Learning DAGs from Data with Few Root Causes
NIPS 2023
Fourier Analysis-based Iterative Combinatorial Auctions
IJCAI 2022
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
AAAI 2021
Beyond the Single Neuron Convex Barrier for Neural Network Certification
NIPS 2019
Boosting Robustness Certification of Neural Networks
ICLR 2019
Powerset Convolutional Neural Networks
NIPS 2019
Fast and Effective Robustness Certification
NIPS 2018
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
JMLR 2016
Active Learning for Multi-Objective Optimization
ICML 2013